Seneca Financial Correlations

SNNF Stock

USD 10.60 0.38 3.72%

The current 90-days correlation between Seneca Financial Corp and Logansport Financial Corp is 0.1 (i.e., Average diversification). The correlation of Seneca Financial is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Seneca Financial Correlation With Market

Significant diversification

The correlation between Seneca Financial Corp and DJI is 0.04 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Seneca Financial Corp and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Seneca Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Seneca Financial when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Seneca Financial - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Seneca Financial Corp to buy it.

Moving together with Seneca Pink Sheet

0.7

USB-PH

US Bancorp

Pair Corr

Moving against Seneca Pink Sheet

0.78	BBDC4	Banco Bradesco SA	Pair Corr
0.74	CIHKY	China Merchants Bank	Pair Corr
0.69	CIHHF	China Merchants Bank	Pair Corr
0.52	HDB	HDFC Bank Limited Normal Trading	Pair Corr
0.5	MFG	Mizuho Financial	Pair Corr
0.47	SWZNF	Schweizerische Nationalbank	Pair Corr
0.4	FITBP	Fifth Third Bancorp	Pair Corr
0.4	BBAS3	Banco do Brasil	Pair Corr
0.39	BRK-B	Berkshire Hathaway	Pair Corr
0.76	EGP	EastGroup Properties	Pair Corr
0.6	CX	Cemex SAB de Aggressive Push	Pair Corr
0.54	APGE	Apogee Therapeutics,	Pair Corr
0.46	AMD	Advanced Micro Devices Sell-off Trend	Pair Corr
0.42	HL	Hecla Mining Aggressive Push	Pair Corr
0.36	PII	Polaris Industries	Pair Corr
0.69	GM	General Motors	Pair Corr
0.67	REGN	Regeneron Pharmaceuticals	Pair Corr
0.67	ADC	Agree Realty	Pair Corr
0.64	RLMD	Relmada Therapeutics	Pair Corr
0.57	HE	Hawaiian Electric	Pair Corr
0.54	AKAM	Akamai Technologies	Pair Corr

Related Correlations Analysis

	LOGN	FBPI	TBBA	MKIN	CIBN	FIBH	CRZY	JTNB	MSBB	GOVB
LOGN		0.38	-0.48	0.3	0.84	0.77	-0.37	0.77	0.76	0.88	LOGN
FBPI	0.38		-0.13	-0.35	0.3	0.25	0.05	0.34	0.15	0.45	FBPI
TBBA	-0.48	-0.13		-0.02	-0.52	-0.3	0.11	-0.5	-0.65	-0.63	TBBA
MKIN	0.3	-0.35	-0.02		0.34	0.5	-0.33	0.29	0.16	0.3	MKIN
CIBN	0.84	0.3	-0.52	0.34		0.53	-0.3	0.75	0.72	0.86	CIBN
FIBH	0.77	0.25	-0.3	0.5	0.53		-0.41	0.77	0.54	0.71	FIBH
CRZY	-0.37	0.05	0.11	-0.33	-0.3	-0.41		-0.38	-0.18	-0.19	CRZY
JTNB	0.77	0.34	-0.5	0.29	0.75	0.77	-0.38		0.74	0.82	JTNB
MSBB	0.76	0.15	-0.65	0.16	0.72	0.54	-0.18	0.74		0.72	MSBB
GOVB	0.88	0.45	-0.63	0.3	0.86	0.71	-0.19	0.82	0.72		GOVB
	LOGN	FBPI	TBBA	MKIN	CIBN	FIBH	CRZY	JTNB	MSBB	GOVB

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

GOVB	+ 0.88	LOGN
GOVB	+ 0.86	CIBN
CIBN	+ 0.84	LOGN
GOVB	+ 0.82	JTNB
FIBH	+ 0.77	LOGN
JTNB	+ 0.77	LOGN

High negative correlations

MSBB	- 0.65	TBBA
GOVB	- 0.63	TBBA
CIBN	- 0.52	TBBA
JTNB	- 0.5	TBBA
TBBA	- 0.48	LOGN
CRZY	- 0.41	FIBH

Risk-Adjusted Indicators

There is a big difference between Seneca Pink Sheet performing well and Seneca Financial Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Seneca Financial's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
LOGN	0.66	0.09	0.01	0.51	0.93	(1.26)	1.35	(1.33)	7.02
FBPI	0.53	0.00	0.00	0.08	0.00	0.00	0.88	(1.67)	6.42
TBBA	1.45	(0.11)	0.00	(0.21)	0.00	0.00	6.26	(4.50)	25.88
MKIN	0.73	0.18	0.06	0.59	0.46	(4.22)	3.06	(1.50)	12.97
CIBN	1.08	0.35	0.00	(0.44)	0.00	0.00	4.32	(0.46)	23.66
FIBH	1.24	0.62	0.00	(3.01)	0.00	0.00	4.23	0.00	19.73
CRZY	0.55	(0.05)	0.00	0.79	0.00	0.00	1.18	(2.02)	8.56
JTNB	0.94	0.20	0.05	(1.37)	0.93	(2.42)	2.57	(2.50)	7.21
MSBB	0.22	0.06	(0.02)	(1.00)	0.00	(1.09)	0.97	(0.26)	4.22
GOVB	0.81	0.24	0.05	(0.48)	0.85	(2.14)	3.52	(1.79)	10.76

Be your own money manager

Our tools can tell you how much better you can do entering a position in Seneca Financial without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Seneca Financial Corporate Management

Thomas Mavretish	VP Controller	Profile
Laurie Ucher	VP Banking	Profile
Jamie Nastri	Co Sec	Profile
Gregory Boshart	VP Quest	Profile
Rebecca Smith	Assistant Lending	Profile
Angelo Testani	VP Lending	Profile
Joseph Vitale	CEO Pres	Profile

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